int main(int argc,char **argv)
{
PetscFunctionList plist = NULL;
char pname[256];
TS ts; /* nonlinear solver */
Vec x,r; /* solution, residual vectors */
Mat A; /* Jacobian matrix */
Problem problem;
PetscBool use_monitor;
PetscInt steps,maxsteps = 1000,nonlinits,linits,snesfails,rejects;
PetscReal ftime;
MonitorCtx mon;
PetscErrorCode ierr;
PetscMPIInt size;
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
PetscInitialize(&argc,&argv,(char*)0,help);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
/* Register the available problems */
ierr = PetscFunctionListAdd(&plist,"rober",&RoberCreate);CHKERRQ(ierr);
ierr = PetscFunctionListAdd(&plist,"ce",&CECreate);CHKERRQ(ierr);
ierr = PetscFunctionListAdd(&plist,"orego",&OregoCreate);CHKERRQ(ierr);
ierr = PetscStrcpy(pname,"ce");CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Timestepping benchmark options","");CHKERRQ(ierr);
{
ierr = PetscOptionsFList("-problem_type","Name of problem to run","",plist,pname,pname,sizeof(pname),NULL);CHKERRQ(ierr);
use_monitor = PETSC_FALSE;
ierr = PetscOptionsBool("-monitor_error","Display errors relative to exact solutions","",use_monitor,&use_monitor,NULL);CHKERRQ(ierr);
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* Create the new problem */
ierr = PetscNew(&problem);CHKERRQ(ierr);
problem->comm = MPI_COMM_WORLD;
{
PetscErrorCode (*pcreate)(Problem);
ierr = PetscFunctionListFind(plist,pname,&pcreate);CHKERRQ(ierr);
if (!pcreate) SETERRQ1(PETSC_COMM_SELF,1,"No problem '%s'",pname);
ierr = (*pcreate)(problem);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,problem->n,problem->n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatGetVecs(A,&x,NULL);CHKERRQ(ierr);
ierr = VecDuplicate(x,&r);CHKERRQ(ierr);
mon.comm = PETSC_COMM_WORLD;
mon.problem = problem;
ierr = VecDuplicate(x,&mon.x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSROSW);CHKERRQ(ierr); /* Rosenbrock-W */
ierr = TSSetIFunction(ts,NULL,problem->function,problem->data);CHKERRQ(ierr);
ierr = TSSetIJacobian(ts,A,A,problem->jacobian,problem->data);CHKERRQ(ierr);
ierr = TSSetDuration(ts,maxsteps,problem->final_time);CHKERRQ(ierr);
ierr = TSSetMaxStepRejections(ts,10);CHKERRQ(ierr);
ierr = TSSetMaxSNESFailures(ts,-1);CHKERRQ(ierr); /* unlimited */
if (use_monitor) {
ierr = TSMonitorSet(ts,&MonitorError,&mon,NULL);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = (*problem->solution)(0,x,problem->data);CHKERRQ(ierr);
ierr = TSSetInitialTimeStep(ts,0.0,.001);CHKERRQ(ierr);
ierr = TSSetSolution(ts,x);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSolve(ts,x);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetTimeStepNumber(ts,&steps);CHKERRQ(ierr);
ierr = TSGetSNESFailures(ts,&snesfails);CHKERRQ(ierr);
ierr = TSGetStepRejections(ts,&rejects);CHKERRQ(ierr);
ierr = TSGetSNESIterations(ts,&nonlinits);CHKERRQ(ierr);
ierr = TSGetKSPIterations(ts,&linits);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"steps %D (%D rejected, %D SNES fails), ftime %G, nonlinits %D, linits %D\n",steps,rejects,snesfails,ftime,nonlinits,linits);CHKERRQ(ierr);
if (problem->hasexact) {
ierr = MonitorError(ts,steps,ftime,x,&mon);CHKERRQ(ierr);
}
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they
are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = VecDestroy(&r);CHKERRQ(ierr);
ierr = VecDestroy(&mon.x);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
if (problem->destroy) {
ierr = (*problem->destroy)(problem);CHKERRQ(ierr);
}
ierr = PetscFree(problem);CHKERRQ(ierr);
ierr = PetscFunctionListDestroy(&plist);CHKERRQ(ierr);
ierr = PetscFinalize();
PetscFunctionReturn(0);
}
void PETSC_STDCALL tsgetsnesfailures_(TS ts,PetscInt *fails, int *__ierr ){
*__ierr = TSGetSNESFailures(
(TS)PetscToPointer((ts) ),fails);
}
